Staff Technical Writer

Details

Grafana Labs is seeking a Staff Technical Writer to create documentation and learning content that helps users adopt and master Grafana’s observability products. The role partners with engineers, product managers, subject matter experts, and the Grafana writing team to produce content for audiences ranging from first-time users to experienced practitioners.

The team uses AI-assisted workflows throughout the content lifecycle, including research, drafting, review, validation, and maintenance. The successful candidate will use these tools daily, apply human judgment to verify their output, and help improve the team’s AI workflows.

Responsibilities

• Plan, research, write, and maintain documentation and learning content, including concepts, tasks, tutorials, references, and in-product learning.
• Use AI tools and workflows for drafting, structuring, technical validation, consistency checks, and content maintenance.
• Contribute to shared AI workflows and identify opportunities to improve or automate content creation and maintenance.
• Partner with engineers, product managers, and other stakeholders to understand product requirements and turn complex technical details into clear, accurate content.
• Test documented procedures by running the software and following the instructions, identifying product and user-experience gaps.
• Use documentation and learning analytics, together with user feedback, to identify content gaps, prioritize work, and measure impact.
• Improve information architecture, voice, consistency, and searchability across the documentation.
• Manage multiple projects, prioritize effectively, and communicate clearly when plans change.
• Mentor teammates and share practices that improve the quality of the team’s work.

Requirements

• Experience writing or documenting enterprise or developer-facing software, supported by a portfolio or writing samples demonstrating technical depth.
• Hands-on experience using AI tools and models in a writing workflow, such as LLM assistants, agentic coding tools, custom prompts, or custom skills.
• Ability to explain how AI-generated output is evaluated and verified.
• Experience with docs-as-code practices, including command-line Git, GitHub pull requests and reviews, Markdown, and common integrated development environments.
• Comfort working in technical environments and setting up, running, and troubleshooting software to verify documentation, including command-line tools, containers, or Kubernetes, or the willingness to learn quickly.
• Experience collaborating with engineers and product managers to obtain accurate technical information.
• Experience working remotely and asynchronously on a distributed team.
• Strong technical credibility, curiosity, judgment, editing skills, ownership, and ability to write clearly and concisely for readers of different experience levels.
• Bonus: experience with observability, monitoring, cloud-native tooling, or open-source documentation.

Compensation

The posting lists Canada base compensation ranges of CAD 145,000–178,000 and CAD 120,927–145,113. Actual compensation may vary based on level, experience, and skillset. Benefits include equity, a bonus where applicable, and other company benefits.

Benefits

• 100% remote global culture.
• Equity and bonus where applicable.
• Career growth pathways.
• In-person onboarding.
• Global annual leave policy of 30 days per year, including three Grafana shutdown days, subject to local legislation.
• Transparent communication, empowered teams, and an open-source-oriented culture.